I am using Alexnet as a feature extractor on a 9 channel image (3 images concatenated). So I need to modify the first conv2d layer to receive 9 channel inputs. What I tried: model_conv = torchvision.models.alexnet(pretrained=True) new_features =...

I'm currently trying it now to make it use for medical images that may have 18 slices thus 18 channels of grayscale images.